Saahil Jain

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saahil Jain trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yifan Peng
  2. Geoffrey E. Hinton
  3. Olivier Bodenreider
  4. Tomas Mikolov
  5. Bradley Efron
  6. Jeffrey Pennington
  7. Jacob Devlin
  8. Ilya Sutskever
  9. Xiaosong Wang
  10. Alexander J. Ratner

Papers from Saahil Jain's perspective

Ordered by how strongly the researchers Saahil Jain trusts endorse each paper. Same corpus, a different order for every researcher.

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. GloVe: Global Vectors for Word Representation
  10. ImageNet: A large-scale hierarchical image database

Their papers